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* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements.  See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License.  You may obtain a copy of the License at
*
*    http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
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package org.apache.spark.h2o.converters

import org.apache.spark.h2o.{H2OContext, RDD}
import org.apache.spark.internal.Logging
import org.apache.spark.ml
import org.apache.spark.mllib.linalg.Vectors
import water.fvec.H2OFrame

private[converters] object MLVectorConverter extends Logging {


  /** Transform RDD[ml.linalg.Vector] to appropriate H2OFrame */
  def toH2OFrame(hc: H2OContext, rdd: RDD[ml.linalg.Vector], frameKeyName: Option[String]): H2OFrame = {
    // convert to mllib vector so we have single place in code where we handle this case
    MLLibVectorConverter.toH2OFrame(hc, rdd.map(Vectors.fromML), frameKeyName)
  }
}
